Hewlett Packard Labs – Machine Learning Research Associate (Intern) (Open) Full-time

Hewlett Packard Labs – Machine Learning Research Associate (Intern) (Open)

This role has been designed as ”Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

The Machine Learning research team at Hewlett Packard Labs seeks highly motivated Ph.D. student summer interns to work on cutting-edge machine learning research focusing on Reinforcement Learning and Large Language Models to bring in significant innovations in the trustworthiness of AI, sustainability, digital twins, complex scientific applications like nuclear fusion, clean energy, sports analytics, and other domains.

Hewlett Packard Labs is an internationally renowned research organization with its headquarters and largest facility in Milpitas, California. As the central research organization for Hewlett Packard Enterprise (HPE), Hewlett Packard Labs’ purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for the company by investing in fundamental science and technology in areas of interest to HPE and getting the resulting technologies ready for adoption into new and existing markets.

The Artificial Intelligence Research Lab focuses on researching and developing technologies, architectures, and software to develop cutting-edge solutions in key areas of Machine Learning, including Large Language Models, and Reinforcement Learning.

This position is for the Artificial Intelligence Research Lab’s core Machine Learning Research team. It focuses on complex multi-objective and multi-agent Reinforcement Learning with innovative applications to sustainability at scale, complex clean energy generation, nuclear fusion, and similar complex problems. Much of our research is directed towards the trustworthiness of AI and is focused on LLMs. Our work involves RL-based agentic architectures to evaluate and refine LLMs. This also enables downstream LLM-based applications.

Our work involves multiple external collaborations with premier research institutes, National Laboratories, NIST (AISIC), and universities. This is a unique opportunity to work at a start-up pace within a big company. You will have the chance to work with Machine Learning experts who have made multiple successful products, providing you with inspiration and guidance in different areas from the latest AI research to bring hardened Deep Learning solutions to the real world.

We expect all our researchers, including interns, to provide thought leadership and technical influence both internally and externally to HPE. Your innovative ideas and contributions will be highly valued and will play a crucial role in making them real – contributing along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer.

This team publishes in top AI conferences and workshops and has won multiple best paper awards at top AI conferences.

Education and Experience

• Pursuing a Ph.D. degree (with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, statistics, etc.)
• Track record of world-class innovative contributions and ideas in machine learning.

Technical Skills:

• Experience in deep learning and reinforcement learning research
• Experience in developing deep learning software with high proficiency in data structures and algorithms.
• Experience in Machine Learning frameworks like PyTorch – required
• Strong programming skills and experience with Python
• Software development experience in Deep Learning, GPU acceleration, and Model Optimization.
• Demonstrated effective communication and collaboration skills
• Demonstrated ability for original research papers published in top-tier conferences or journals.

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development {+ 5 more}

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have – whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let’s Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:
Administration
Job Level:
N/A

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.

USD Hourly: $41.11 – $93.15

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. .